Articles | Volume 23, issue 17
https://doi.org/10.5194/acp-23-9873-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-9873-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Radiation fog properties in two consecutive events under polluted and clean conditions in the Yangtze River Delta, China: a simulation study
Naifu Shao
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
Chunsong Lu
CORRESPONDING AUTHOR
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
Xingcan Jia
Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China
Yuan Wang
Collaborative Innovation Centre for Western Ecological Safety, Lanzhou University, Lanzhou 730000, China
Yubin Li
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
Bin Zhu
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
Tianliang Zhao
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
Duanyang Liu
Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China
Shengjie Niu
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
College of Safety Science and Engineering, Nanjing Technology
University, Nanjing 210009, China
Shuxian Fan
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
Shuqi Yan
Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China
Jingjing Lv
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
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Cited
8 citations as recorded by crossref.
- RDCP: A Real Time Sea Fog Intensity and Visibility Estimation Algorithm S. Hwang et al. 10.3390/jmse12010053
- Impact of Aerosols on the Macrophysical and Microphysical Characteristics of Ice-Phase and Mixed-Phase Clouds over the Tibetan Plateau S. Zhu et al. 10.3390/rs16101781
- Role of atmospheric aerosols in severe winter fog over the Indo-Gangetic Plain of India: a case study C. Bharali et al. 10.5194/acp-24-6635-2024
- Effect of the boundary layer low-level jet on fast fog spatial propagation S. Yan et al. 10.5194/acp-23-13987-2023
- Modeling study of the effects of entrainment-mixing on fog simulation in the chemistry–weather coupling model GRAPES_Meso5.1/CUACE CW Y. Zhao et al. 10.1039/D4EA00003J
- Enhancing Maritime Safety and Efficiency: A Comprehensive Sea Fog Monitoring System for Ningbo Zhoushan Port L. Hu et al. 10.3390/atmos14101513
- AEA-RDCP: An Optimized Real-Time Algorithm for Sea Fog Intensity and Visibility Estimation S. Hwang et al. 10.3390/app14178033
- Sofia Airport Visibility Estimation with Two Machine-Learning Techniques N. Penov & G. Guerova 10.3390/rs15194799
8 citations as recorded by crossref.
- RDCP: A Real Time Sea Fog Intensity and Visibility Estimation Algorithm S. Hwang et al. 10.3390/jmse12010053
- Impact of Aerosols on the Macrophysical and Microphysical Characteristics of Ice-Phase and Mixed-Phase Clouds over the Tibetan Plateau S. Zhu et al. 10.3390/rs16101781
- Role of atmospheric aerosols in severe winter fog over the Indo-Gangetic Plain of India: a case study C. Bharali et al. 10.5194/acp-24-6635-2024
- Effect of the boundary layer low-level jet on fast fog spatial propagation S. Yan et al. 10.5194/acp-23-13987-2023
- Modeling study of the effects of entrainment-mixing on fog simulation in the chemistry–weather coupling model GRAPES_Meso5.1/CUACE CW Y. Zhao et al. 10.1039/D4EA00003J
- Enhancing Maritime Safety and Efficiency: A Comprehensive Sea Fog Monitoring System for Ningbo Zhoushan Port L. Hu et al. 10.3390/atmos14101513
- AEA-RDCP: An Optimized Real-Time Algorithm for Sea Fog Intensity and Visibility Estimation S. Hwang et al. 10.3390/app14178033
- Sofia Airport Visibility Estimation with Two Machine-Learning Techniques N. Penov & G. Guerova 10.3390/rs15194799
Latest update: 21 Nov 2024
Short summary
Fog is an important meteorological phenomenon that affects visibility. Aerosols and the planetary boundary layer (PBL) play critical roles in the fog life cycle. In this study, aerosol-induced changes in fog properties become more remarkable in the second fog (Fog2) than in the first fog (Fog1). The reason is that aerosol–cloud interaction (ACI) delays Fog1 dissipation, leading to the PBL meteorological conditions being more conducive to Fog2 formation and to stronger ACI in Fog2.
Fog is an important meteorological phenomenon that affects visibility. Aerosols and the...
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